<abstract xmlns="http://www.w3.org/1999/xhtml">

<p>An innovation and entrepreneurship education model centered around Timmons’ entrepreneurial process is suggested in this study after an initial analysis of applied bachelor universities, innovation and entrepreneurship education, and innovation and entrepreneurship courses. Second, a neural network with BP and an artificial neural network is used to build an assessment system for the efficiency of school innovation and entrepreneurship courses. Finally, examples were used to quantitatively study data on the approval of innovation and entrepreneurship classes and students’ graduation selections. The findings reveal that satisfaction with the innovation and entrepreneurship course may be successfully assessed using data analysis techniques because there is just a variance of 0.037 between the input assessment, with the lowest average score of 4.938 and the multidimensional experience assessment, with the highest average score of 4.975.</p>
</abstract>

An innovation and entrepreneurship education model centered around Timmons’ entrepreneurial process is suggested in this study after an initial analysis of applied bachelor universities, innovation and entrepreneurship education, and innovation and entrepreneurship courses. Second, a neural network with BP and an artificial neural network is used to build an assessment system for the efficiency of school innovation and entrepreneurship courses. Finally, examples were used to quantitatively study data on the approval of innovation and entrepreneurship classes and students’ graduation selections. The findings reveal that satisfaction with the innovation and entrepreneurship course may be successfully assessed using data analysis techniques because there is just a variance of 0.037 between the input assessment, with the lowest average score of 4.938 and the multidimensional experience assessment, with the highest average score of 4.975.

Evaluation and Analysis of the Effectiveness of University Innovation and Entrepreneurship Courses Based on Data Analysis Technology

Department of Innovation and Entrepreneurship

Applied Mathematics and Nonlinear Sciences

This work is licensed under the Creative Commons Attribution 4.0 International License.

An innovation and entrepreneurship education model centered around Timmons’ entrepreneurial process is suggested in this study after an initial analysis of...

Evaluation and Analysis of the Effectiveness of University Innovation and Entrepreneurship Courses Based on Data Analysis Technology

Published Online: Oct 28, 2023

Page range: -

Received: Nov 16, 2022

Accepted: May 08, 2023

DOI: https://doi.org/10.2478/amns.2023.2.00833

Keywords
BP neural network, Applied undergraduate, Timmons entrepreneurship, Innovation and entrepreneurship curriculum, Evaluation system

© 2023 Zhiwei Zhu, published by Sciendo

This work is licensed under the Creative Commons Attribution 4.0 International License.

Evaluation and Analysis of the Effectiveness of University Innovation and Entrepreneurship Courses Based on Data Analysis Technology

Published Online: Oct 28, 2023

Page range: -

Received: Nov 16, 2022

Accepted: May 08, 2023

DOI: https://doi.org/10.2478/amns.2023.2.00833

KeywordsBP neural network, Applied undergraduate, Timmons entrepreneurship, Innovation and entrepreneurship curriculum, Evaluation system

© 2023 Zhiwei Zhu, published by Sciendo

This work is licensed under the Creative Commons Attribution 4.0 International License.

Keywords
BP neural network, Applied undergraduate, Timmons entrepreneurship, Innovation and entrepreneurship curriculum, Evaluation system